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To operate with high efficiency and minimise the risks of power failures, power systems require careful monitoring. The availability of real-time data is crucial for assessing the performance of the grid and assisting operators in gauging the present security of the grid. Traditional supervisory control and data acquisition (SCADA)-based systems actually employed provides steady-state measurement values which are the calculation premise of State Estimation. More often, however, the power grid operates under dynamic state and SCADA measurements can lead to erroneous and inaccurate calculation results. The introduction of the phasor measurement unit (PMU) which provides real-time synchronised voltage and current phasors with very high accuracy is universally recognised as an important aspect of delivering a secure and sustainable power system. PMUs are a relatively new technology and because of their high procurement and installation costs, it is imperative to develop appropriate methodologies to determine the minimum number of PMUs as well as their strategic placements to guarantee full observability of a power system. Thus, the problem of the optimal PMU placement (OPP) is formulated as an optimisation problem subject to various constraints to minimise the number of PMUs while ensuring complete observability of the grid. In this chapter, integer linear programming (ILP), genetic algorithm (GA) and non-linear programming (NLP) constrained models of the OPP problem are presented. A new methodology is proposed to incorporate several constraints using the NLP. The optimisation methods have been written in Matlab software and verified on the standard Institute of Electrical and Electronics Engineers (IEEE) 14-bus test system to authenticate their effectiveness. This chapter targets United Nations Sustainable Development Goal 7.

This chapter shares the challenges that scholars experienced during the pandemic and their responses to them. We find that participants responded to complex work and home challenges through ethics of grit and perseverance. Offering a caution against grit mindsets, we argue that academics would benefit from opportunities to develop fuller forms of resilience. To do so, we recommend that higher education institutions co-construct locally and culturally relevant conceptualisations of resilience and enact trauma-informed practice to better support academic resilience in their faculties.

Appearance is part of a person's non-verbal communication, and looks are often associated with the perceived ‘attractiveness’ of individuals for hiring practices in the workplace. As such, physical attractiveness can be a ‘prized possession’ when it comes to leaving a positive impression on managers who are interviewing candidates. In the twenty-first century environment, our society seems to be more obsessed with physical appearance than ever before because society has conditioned us to associate beauty with other favourable characteristics. Of course, such appearance norms, regarding attractiveness, ‘good looks’ and beauty are linked to years of socialisation in culture, cultural norms and materialistic personality standards.

In a business context, managers and employers often make hiring decisions based on the appearance and attractiveness of the job applicants since outward appearance seems to play a significant role in which candidates eventually might get the job. Physically attractive job applicants and candidates tend to benefit from the unearned privilege, which often comes at a cost to others who are equally qualified. Preferring employees who are deemed to be attractive, and consequently discriminating against those who are perceived as unattractive, can present legal and ethical challenges for employers and managers. In this chapter, we provide a discussion and reflection of appearance-based hiring practices in the United States with relevant legal, ethical and practical implications for employers, human resources professionals and managers. We focus on ‘lookism’ or appearance discrimination, which is discrimination in favour of people who are physically attractive. As such, we examine federal, state and local laws regarding appearance discrimination in the American workplace. We also offer sustainable policy recommendations for employers, HR professionals and managers on how they can be fair to all candidates in order to hire, promote and retain the most qualified professionals in their departments and organisations.

Corporate Social Responsibility (CSR) reporting has been widely accepted as a vital tool for communicating with stakeholders on a range of social, environmental, and governance issues, but how companies define, interpret, apply, integrate, and communicate their CSR efforts and impacts in corporate reporting is anything but a straightforward task. The purpose of this chapter is to explore the concept of materiality in CSR reporting and demonstrate practical examples of good CSR and Sustainable Development Goals (SDGs) reporting practices. We chose the aviation industry because of its economic relevance, constant growth, and future expected changes in the aftermath of COVID-19. In addition, airlines affect many of the SDGs directly and indirectly with contending results. This chapter is timely because of the growing willingness by companies to integrate CSR and environmental, social, and governance (ESG) thinking into the corporate strategy and business operations using materiality assessment and enhancing their competitive advantage and ability to maintain long-term value and because ESG and ethical investing have become part of the mainstream investing. Thus, this chapter contributes to an understanding of the wide range of existing and new reporting frameworks and regulations and reinforces the importance of discussing how this diversity of approaches can affect the work toward worldwide comparability of CSR and sustainability reporting.

The United Nations (UN) adopted Sustainable Development Goals (SDGs); agenda 2030 focuses on Climate Action (goal 13), targeting climate adaptability, as well as resilience, awareness and improving policy mechanisms on climate change. In order to enhance climate adaptability, climate-smart agricultural practices (CSAP) is a necessary step. CSAP is a sustainable agriculture approach with a strong focus on climate dimensions. The three pillars of climate-smart agriculture (CSA) are ‘Adaptation’: adapting to climate change; ‘Resilience’: building resilience against it and ‘Remove’: reducing carbon emissions. The new world economy uses Industry 4.0 technologies for sustainable advancement, including blockchain technology, big data analytics, artificial intelligence (AI), augmented and virtual reality, industrial Internet of Things (IoT) and services. Hence, technology plays a significant role in climate sustainable agriculture practices. This chapter shall consider three technologies consisting of IoT, AI and blockchain technology which contribute to CSAP in pre-harvesting (monitoring climate as well as fertility status, soil testing, etc.), harvesting (tilling, fertilisation, seed operations, etc.) and post-harvesting (predicting weather factors, seed varieties, etc.) periods of agriculture. All these three technologies work like the human nervous system; IoT helps in converting various information regarding demography, climate change, local agricultural needs, etc. into world data; AI works like a brain in combination with IoT, helps predict the use of climate-smart technology and blockchain, the memory part of the nervous system which deals with supply-side and ensures traceability as well as transparency for consumers as well as farmers. Hence, this chapter shall contribute to the importance of these three technologies in adopting CSAP in three stages of agriculture.

The notion of deeper experiences of Hindu devotees inspired by divine images and sacred places has roots in the historical past, going back to the Vedic period (ca. 2500 BCE), where we find rich literature on performances, rituals and merits of pilgrimages. Considered the bridge between human beings and divinities, the experiences received are the resultant ‘blissful fruit’ (phala) that helps the spiritual healing of pilgrims through awakening conscience and understanding the manifested meanings, symbolism, purposes and gains. This system can be viewed concerning the ‘texts’ (the mythology, ancient text and related narratives) and the ‘context’ (contemporality and living tradition). These rules and performances have regional perspectives of distinctions, but they also carry the sense of universality, i.e. locality (sthānic) and universality (sarvavyāpika) interfaces. The devout Hindus reflect their experiences in conception, perception, reception and co-sharedness – altogether making the wholistic network of belief systems, i.e. the religious wholes in Hindu society. This chapter deals with four aspects: the historical and cultural contexts, the meanings and merits received, the motives and the journey and interfacing experiences. The study is based on the experiential and questionnaire-based exposition and interviews of pilgrims at nine holy places during 2015–2019 on various festive occasions and is illustrated with ancient texts and treatises. The sacred cities included are Prayagraj, Varanasi, Gaya, Ayodhya, Vindhyachal, Ganga Sagar, Chitrakut, Mathura Vrindavana and Bodh Gaya.

It is now well-established that good water quality is associated with economic prosperity, reduced incidence on public health and the good functioning of the various ecosystems found in our environment. Water contamination is mostly related to both diffused (agricultural lands and geologic rock degradations) and point sources of pollution. Mauritius has many water resources which depend solely on precipitation for their replenishment. Water parameters which are of relevance include total dissolved solids (TDS), temperature, pH, electrical conductivity, turbidity, dissolved oxygen, dissolved and particulate organic carbon and major cations and anions. The traditional methods of analysis for these parameters are mostly using electrical and optical methods (probes and sensors in the field), while chemical titrations, Flame AAS and High-Performance Liquid Chromatography techniques are carried out in the laboratory. Image Classification techniques using neural networks can also be used to detect the presence of contaminants in water. In addition to basic water quality parameters, the field sensors range have been extended to cover important major ions and can now be integrated with Artificial Intelligence (AI)-based models for the prediction of variations in water quality to better protect human health and the environment, reduce operation costs of water and wastewater treatment plant unit processes.

A Legacy Community is a living and learning community supported by broader institutional departments (e.g., student affairs, academic affairs, foundation, and alumni affairs) that dedicate resources, opportunities, and supports intended to: (a) undo legacies of educational disparities that Black/African American males have historically witnessed and (b) build capacity for students engaged in these communities (i.e., Black/African American males) to create and leave positive legacies on their terms. In this qualitative study of Black and African American undergraduate male living and learning community (LLC) participants at a primarily white institution (Legacy House), we investigate the LLC program elements that impact participants' educational and social experiences, and foster pathways for student legacy building. Legacy house participants describe brotherhood, sense of belonging, and leaving a legacy as elements that enable positive student academic and social outcomes, campus involvement, and career readiness.

The public healthcare system faces challenges and limitations regarding the supply and delivery of healthcare services. The private healthcare system is expensive and only affordable for some. Due to the increasing population, developing countries face a greater degree of demand–supply mismatch. The existing healthcare services in developing countries need to be more sustainable due to high out-of-pocket expenditures and low-income levels. The research design used in this chapter is a case study approach based on qualitative data. The study focuses on two objectives: (1) to have a detailed understanding of the nature of healthcare cooperatives in Spain and their contribution to meeting healthcare requirements; and (2) to make suggestions and recommendations for an improved and sustainable healthcare cooperative for developing countries. Inspired by the healthcare cooperative model of Spain and keeping in mind the ground reality of the lack of healthcare facilities and services accessible and affordable in developing countries, the authors have developed a conceptual framework with the foundation of an insurance cooperative. The Spain Model is sustainable for developing countries as it serves the interest of all income brackets, not leaving the low-income population behind. Concepts like cooperative worker insurance embedded in the model can ensure that the beneficiaries receive timely and good quality health services at an affordable price. It empowers individuals by allowing them to make small amounts of investments as premiums to secure a hopeful future for a healthy life.